Data acquisition
3
Web scraping
Foundations of Data Science in R
Welcome to Foundations of Data Science in R
Introduction to data science
1
Introduction
2
GitHub
Data acquisition
3
Web scraping
4
SQL in R and DBeaver
5
SQL clauses
6
Combining tables in SQL
Data exploration
7
Data wrangling
8
Text analysis
9
Regular expressions
Data visualization
10
Graphics
11
ggplot
Data conclusions
12
Iteration
13
Permutation tests
Data communication
14
Version control
15
R tip-of-the-day
16
Reproducible examples
Table of contents
3.1
Reflection questions
3.2
Ethics considerations
Report an issue
Data acquisition
3
Web scraping
3
Web scraping
3.1
Reflection questions
3.2
Ethics considerations
Data acquisition
4
SQL in R and DBeaver